Journal
CHEMICAL BIOLOGY & DRUG DESIGN
Volume 96, Issue 6, Pages 1408-1417Publisher
WILEY
DOI: 10.1111/cbdd.13749
Keywords
antimicrobial activity; chemoinformatics; chemometric analysis; peptide design; predictive modeling
Funding
- Department of Science and Technology, Government of India [SB/S3/CE/028/2013]
- Indian Council of Medical Research
Ask authors/readers for more resources
Microbial resistance to conventional antibiotics has led to a surge in antimicrobial peptide (AMP) rational design initiatives that rely heavily on algorithms with good prediction accuracy and sensitivity. We present a quantitative structure-activity relationship (QSAR) approach for predicting activity of cathelicidins, an AMP family with broad-spectrum activity. The best multiple linear regression model built againstEscherichia coliATCC 25922 could accurately predict activity of three rationally designed peptides CP, DP, and Mapcon, having high sequence similarity. On further experimental validation of the rationally designed peptides, CP was found to exhibit high antimicrobial activity with negligible hemolysis. Here, we provide CP, an AMP with potential therapeutic applications and a family-based QSAR model for AMP prediction.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available